Extensive parts of the administrative legislation are inherently of executional nature, e.g. tax laws, social welfare programs, and require both government and individual data for proper application.

The ongoing transition of government agencies into service units is a wide open field for improvement of citizen-administration interaction.

Putting the bulk of filing forms on internet servers is only a small first step. Helping citizens to understand individual options and implications of choices involves complete consultation cycles. The implementation of such servers must use processing on the client side for acceptable response times, reasonable server cost, and adequate privacy protection.

Systems capturing legal bodies and administrative expertise have been implemented and widely reported, but only at corporate or consulting company level. MINERVA enables to deploy this technology at much lower cost to a far wider client population, thus opening the way for much more supportive and service-oriented government.

Look at laws as public domain software. Financed by the tax payer, laws are accessible to everybody. However, to make optimal use of this generally available body of rules requires expensive legal and tax advisors.

Consulting systems running on centralized government servers can not completely resolve this deficiency, because consulting must follow a goal and avoid conflict of interests: a government server would lack both the bias in favor of the client and a safe structur to protect client privacy.

MINERVA allows to do case studies, "what-if" simulations etc on the client side, using the legal body downloaded from the server, but executed locally on the individual machine. Even if private data is needed during the simulation, it is never handed over to the server. By design, confidentiality is never compromised.

The steep cost barrier to legal and other law-related advice shrinks dramatically: the MINERVA client only needs standard internet access, available at rapidly decreasing cost to wide portions of the population.

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